Not exact matches
«The impacts of
sea level change will be felt most acutely during periods of high
sea level, both from this type of
interannual (and decadal)
variability as well as extreme events,» Church said.
Quadrelli and Wallace (2004) found that many patterns of NH
interannual variability can be reconstructed as linear combinations of the first two Empirical Orthogonal Functions (EOFs) of
sea level pressure (approximately the NAM and the PNA).
Regionally, climate models underestimate the amount of
sea level rise that occured, but do show reasonable agreement for
interannual and multidecadal
variability.
''... when correcting for
interannual variability, the past decade's slowdown of the global mean
sea level disappears, leading to a similar rate of
sea -
level rise (of 3.3 ± 0.4 mm yr − 1) during the first and second decade of the altimetry era.
Here we present an analysis based on
sea -
level data from the altimetry record of the past ~ 20 years that separates
interannual natural
variability in
sea level from the longer - term change probably related to anthropogenic global warming.
The most prominent signature in the global mean
sea level interannual variability is caused by El Niño — Southern Oscillation, through its impact on the global water cycle.
«Here we present an analysis based on
sea -
level data from the altimetry record of the past ~ 20 years that separates
interannual natural
variability in
sea level from the longer - term change probably related to anthropogenic global warming... Our results confirm the need for quantifying and further removing from the climate records the short - term natural climate
variability if one wants to extract the global warming signal.»
Processes contributing to
interannual steric
sea level variability are studied over the period 1993 — 2004 using an observationally - constrained ocean state estimate produced by the ECCO («Estimating the Circulation and Climate of the Ocean») consortium.
Piecuch, C. G., and R. M. Ponte (2011), Mechanisms of
interannual steric
sea level variability, Geophys.
Global
sea level trend during 1993 — 2012 Here we investigate the global - mean
sea level (GMSL) change during 1993 — 2012 using Empirical Mode Decomposition, in an attempt to distinguish the trend over this period from the
interannual variability.
A 15 - year CDR of global
sea level rise and
interannual variability has been established by TOPEX / Poseidon (1992 - 2002) and Jason (2002 - present).23 The duration of this data record is just beginning to provide insight into decadal
variability.
However, detecting acceleration is difficult because of (i)
interannual variability in GMSL largely driven by changes in terrestrial water storage (TWS)(7 ⇓ — 9), (ii) decadal
variability in TWS (10), thermosteric
sea level, and ice sheet mass loss (11) that might masquerade as a long - term acceleration over a 25 - y record, (iii) episodic
variability driven by large volcanic eruptions (12), and (iv) errors in the altimeter data, in particular, potential drifts in the instruments over time (13).